Noel Codella
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
- Topic Modeling
Papers in
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- Multimodal Machine Learning Applications 5
- Video Analysis and Summarization 4
- Advanced Image and Video Retrieval Techniques 4
- Advanced Neural Network Applications 4
- Human Pose and Action Recognition 3
- Visual Attention and Saliency Detection 1
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- Domain Adaptation and Few-Shot Learning 5
- AI in cancer detection 1
- Co-authors
- Lu Yuan (3 shared papers)Bin Xiao (3 shared papers)Jingdong Wang (1 shared paper)Luowei Zhou (2 shared papers)Ping Luo (1 shared paper)Mingyu Ding (1 shared paper)Yiwu Zhong (1 shared paper)Pengchuan Zhang (1 shared paper)
- Journals
- Lecture notes in computer science (2 papers)TRECVID (2 papers)PubMed (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United StatesGermanyHong Kong
In The Last Decade
Noel Codella
10 papers receiving 648 citations
Noel Codella's Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 464
- Artificial Intelligence 320
- Media Technology 45
- Signal Processing 29
- Human-Computer Interaction 11
Countries citing papers authored by Noel Codella
This map shows the geographic impact of Noel Codella's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Noel Codella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noel Codella more than expected).
Fields of papers citing papers by Noel Codella
This network shows the impact of papers produced by Noel Codella. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Noel Codella. The network helps show where Noel Codella may publish in the future.
Co-authors
The 25 scholars most cited alongside Noel Codella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | RegionCLIP: Region-based Language-Image Pretraining Hit paper breakdown → | 2022 | 352 |
| 2 | DaViT: Dual Attention Vision Transformers Hit paper breakdown → | 2022 | 215 |
| 3 | 2022 | 31 | |
| 4 | IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System | 2011 | 22 |
| 5 | 2014 | 17 | |
| 6 | IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems | 2012 | 13 |
| 7 | IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. | 2013 | 6 |
| 8 | 2013 | 5 | |
| 9 | 2021 | 2 | |
| 10 | 2016 | 2 | |
| 11 | 2013 | 0 |
About Noel Codella
Noel Codella is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology, Epidemiology and Electrical and Electronic Engineering, having authored 11 papers that have together received 665 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Video Analysis and Summarization (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced Neural Network Applications (4 papers), Human Pose and Action Recognition (3 papers), Visual Attention and Saliency Detection (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (464 citations), Artificial Intelligence (320 citations), Media Technology (45 citations), Signal Processing (29 citations) and Human-Computer Interaction (11 citations). Noel Codella has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Lu Yuan, Bin Xiao, Jingdong Wang, Luowei Zhou, Ping Luo, Mingyu Ding, Yiwu Zhong, Pengchuan Zhang, Liunian Harold Li and Xiyang Dai. Their work appears in journals such as Lecture notes in computer science, TRECVID, PubMed, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.